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  • Xuefeng Li, Mohamed Ichchou, Abdelmalek Zine, Christophe Droz, Noureddine Bouhaddi. An Algebraic Wavenumber Identification (AWI) technique under stochastic conditions. Mechanical Systems and Signal Processing, 2023, 188, pp.109983. ⟨10.1016/j.ymssp.2022.109983⟩. ⟨hal-03888251⟩
  • Gabriel Remion, Bassam Moujalled, Mohamed El Mankibi. Numerical Sensitivity Analysis of the Tracer Gas Decay Method Coupled with the Kalman Filter in a Two-Zones Dwelling. Université de Lyon, LTDS, ENTPE. 2023. ⟨hal-04287131⟩
  • Maxime Beal, Mohamed-Nour Azzougagh, Jérémie Pourchez, Philippe Bertrand, Elodie Cabrol, et al.. Effect of powder reuse on physical, chemical and toxicological properties of 6061-Zr aluminum alloy processed by Laser Powder Bed Fusion (L-PBF). Matériaux et Techniques, 2023, 111 (1), pp.103. ⟨10.1051/mattech/2023013⟩. ⟨hal-04109263⟩
  • Siegfried Fouvry. Friction energy wear approach. Tomasz Liskiewicz; Daniele Dini. Fretting Wear and Fretting Fatigue. Fundamental Principles and Applications, Elsevier, pp.87-117, 2023, Elsevier Series on Tribology and Surface Engineering, ⟨10.1016/B978-0-12-824096-0.00006-8⟩. ⟨hal-04100254⟩
  • Mohamed Mounir Boussabnia, Daniel Perraton, Hervé Di Benedetto, Sebastien Lamothe, Marc Proteau. Validation of time temperature superposition principle for high modulus asphalt concrete in the linear viscoelastic and fatigue domains. Fatigue and Fracture of Engineering Materials and Structures, 2023, 46 (1), pp.80-95. ⟨10.1111/ffe.13849⟩. ⟨hal-04092565⟩
  • David Philippon, Soha Baydoun, Siegfried Fouvry. Surface morphology, contact size and contact geometry effects on grease-lubricated fretting contacts. Wear, 2023, 522, pp.204687. ⟨10.1016/j.wear.2023.204687⟩. ⟨hal-04167120⟩
  • A. Casaburo. Decision trees-based methods for the identification of damages in strongly damped plates for aerospace applications. Aeronautics and Astronautics, pp.146-149, 2023, ⟨10.21741/9781644902813-32⟩. ⟨hal-04590052⟩
  • Soha Baydoun, Mohammed Fartas, Siegfried Fouvry. Comparison between physical and machine learning modeling to predict fretting wear volume. Tribology International, 2023, 177, pp.107936. ⟨10.1016/j.triboint.2022.107936⟩. ⟨hal-03874992⟩
  • Zineb Zoubir, Houda Er-Retby, Niima Es-Sakali, Abdellah Souldi, Mohamed Oualid Mghazli. Towards Sustainable Buildings: Predictive Modeling of Energy Consumption with Machine Learning. Conference: International Symposium on Green Technologies and Applications (ISGTA’2023), 2023, Casablanca, Morocco, Morocco. pp.59-66, ⟨10.1016/j.procs.2024.05.004⟩. ⟨hal-04940787⟩
  • Shima Zamanian, Sébastien Langlois, Alex Loignon, Alireza Ture Savadkoohi, M.L.M. François. Modelling the Flexural Hysteresis Behaviour of Bretelle Dampers based on A Quasi-static Bending Test. IEEE Transactions on Power Delivery, In press, ⟨10.1109/TPWRD.2023.3307907⟩. ⟨hal-04187343⟩

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